GIS Team Conference 2021July 20-22, 2021This storymap outlines the agenda/topics that will be covered by the various TEAMS "meetings" throughout the 3-day conference. All are welcome, however TEAMS meetings are capped at 1,000 attendees (wishful thinking, but hey? It could go viral...) So tell your co-workers, program managers, division directors, secretaries, and your cats that this will be helpful for all to understand the investment that we have in our GIT. Inspiration for your programs to begin conceptualizing solutions that leverage our existing GIS platforms that do not require any additional licensing.

Group quarters are owned or managed by an entity or organization providing housing and/or services for the residents. People living in group quarters are usually not related to each other including such places as college residence halls, nursing homes and correctional facilities.The data in this map is compiled from a variety of publicly available sources to support US Census Bureau related activities in Tennessee including the 2020 Census and preparation of annual estimates of population and housing units.This dataset is under development and currently includes adult and juvenile corrections facilities in the state. Work is ongoing to add additional facility types and is scheduled to be complete by May 2019.

🇬🇧 United Kingdom

GIS Maps, Transportation Data, and Reports for all modes of travel throughout Massachusetts.

These data provide evidence of how movement in London was been affected by the various control measures for COVID-19 and how much they recovered once those measures were eased. NOTE: Google stopped updates on 15th Oct 2022 This page summarises changes in activity from baseline obtained from Google's Mobility Report including: Retail and recreation Grocery and pharmacy Parks Transit stations Workplaces percent Residential Google collects location data shared by users of Android smartphones, and compares the time and duration of visits to locations to the median values on the same day of the week in the five weeks from 3 Jan 2020.

The Regional Crime Analysis GIS (RCAGIS) is an Environmental Systems Research Institute (ESRI) MapObjects-based system that was developed by the United States Department of Justice Criminal Division Geographic Information Systems (GIS) Staff, in conjunction with the Baltimore County Police Department and the Regional Crime Analysis System (RCAS) group, to facilitate the analysis of crime on a regional basis. The RCAGIS system was designed specifically to assist in the analysis of crime incident data across jurisdictional boundaries. Features of the system include: (1) three modes, each designed for a specific level of analysis (simple queries, crime analysis, or reports), (2) wizard-driven (guided) incident database queries, (3) graphical tools for the creation, saving, and printing of map layout files, (4) an interface with CrimeStat spatial statistics software developed by Ned Levine and Associates for advanced analysis tools such as hot spot surfaces and ellipses, (5) tools for graphically viewing and analyzing historical crime trends in specific areas, and (6) linkage tools for drawing connections between vehicle theft and recovery locations, incident locations and suspects' homes, and between attributes in any two loaded shapefiles. RCAGIS also supports digital imagery, such as orthophotos and other raster data sources, and geographic source data in multiple projections. RCAGIS can be configured to support multiple incident database backends and varying database schemas using a field mapping utility.

This newsletter, produced monthly by the Enterprise GIS team, is intended to serve you, our Audubon network, with the latest information on what is happening with the GIS team, projects across the entire network that are employing GIS, and tips & tricks on tools and workflows.

This feature class (shapefile) consists of point locations of public, private, and charter schools including pre-schools, day care facilities, adult and vocational schools in New Jersey, with minimal attributes. Most of the public schools were initially located in 2003 by the New Jersey Department of Environmental Protection, and were checked in 2007-2016 by the NJ Office of Geographic Information Systems (OGIS), other organizations and volunteers. Charter schools were located in 2011 and checked through 2016 by OGIS against the 2016 NJ Department of Education table of public schools that also lists charter schools.Private schools were located initially in 2010, and updated later in 2014 only for Somerset County using the spatial data provided by Somerset County GIS team. The present data set is the result of checking and updating the previous locations by processing the tabular data that were acquired from NJDOE in August, 2016.

© Most of the public school records were derived from 2003 data sets created by the New Jersey Department of Environmental Protection. Special acknowledgements are to people of the following organizations who made a significant contribution to school location verification process: Seth Hackman (NJDEP), Salem county GIS; Morris County GIS; Atlantic County GIS; Cape May County GIS; DVRPC; Hunterdon County GIS; Somerset County GIS; Warren County Prosecutor's Office; Westfield Engineering; WFS (for Mercer, Middlesex, Burlington and Camden Co.) ; Monmouth GIS; voluneers and state employees who made site visits on their own time: Charles Colvard, Dominic Juliano, Matt Lawson, Richard Rabinowitz, Amy J. Ferdinand, Rebecca French-Mesch.

This layer is a component of Sites and Facilities.

The WTD GIS Team specializes in crafting visual content for both internal teams and the public. Our maps and applications play a crucial role in supporting WTD's efforts to inspect and maintain our systems, identify Environmental and Social Justice (ESJ) impacts and opportunities in project communities, plan for the future, and much more. This Hub Site serves as a centralized repository, bringing together these products, links, and applications into a convenient one-stop location for easy access by all.

Localities, PSAPs, GIS staff, contractors, and PDCs across the commonwealth are working to prepare and maintain GIS data for 9-1-1 as they go live and maintain data for Next Generation 9-1-1, asking questions like:- How do I get access to the EGDMS system?- What happens if my PSAP boundary goes outside my provisioning boundary?- How will my ESNs work in the new environment? - Do I need Law, Fire, and EMS Emergency Service Boundary layers?- What addressing processes and best practices help me maintain GIS address points at 9-1-1 quality standards?- How will the new National Spatial Reference System (NSRS) datums affect NG9-1-1?- What are some good strategies for automating my data preparation and load process?- How often should I complete maintenance uploads to NG9-1-1 once my PSAP is live?- How does MSAG and ALI maintenance change after my PSAP is live and how long will it stay this way?- What are NENA standards work groups working on relating to GIS?- Is there any new action from the FCC regarding location, accuracy, and call delivery?- What makes a good address? In other words, questions about:- How will this work?- How do we...?- What do I do with...?The 9-1-1 & Geospatial Services Bureau hosts live "user group" discussion and Q&A sessions on webex once a month where we will answer questions like these that have come in and questions you come up with. Rather than a presentation or document, we see the benefit of discussing your examples, situations, and scenarios in a group environment so all involved can move forward with confidence. Save up your questions or send them ahead of time to matt.gerike@vdem.virginia.gov and join the conversation.If you have a specific situation, be ready to share your screen!Important: If you have a pressing question that is holding you up, let us know as well so we get you a response rather than holding it.Upcoming SessionsWednesday, Jan 8, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Feb 12, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Mar 12, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, May 14, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, June 11, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Aug 13, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Sep 10, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Nov 12, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Dec 10, 2025 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)An .ics file for the second Wednesday of the month at 2pm eastern for 2025 as a reminder to check the "Upcoming GIS Events" on the VGIN home page for meeting status is available here.Meeting number: 2427 017 6961Password: NG911GIShttps://covaconf.webex.com/covaconf/j.php?MTID=m67d2925543948e8c900c8a43af815ee1Join by video systemDial 1712410808@covaconf.webex.comYou can also dial 173.243.2.68 and enter your meeting number.Join by phone+1-517-466-2023 US Toll+1-866-692-4530 US Toll FreeAccess code: 2427 017 6961 Past SessionsWednesday, Jul 29, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Aug 12, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Aug 26, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, September 9, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, September 23, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Oct 14, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Tuesday Nov 10, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Dec 9, 2020 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Jan 13, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Feb 10, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Mar 10, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Apr 14, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, May 12, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Jun 9, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, July 14, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Aug 11,2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada) Wednesday, Sep 8, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Oct 13, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Nov 10, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Dec 8, 2021 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Jan 12, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Feb 9, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, Mar 9, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)VAMLIS meeting Wednesday March 30, 2022Canceled: Wednesday, Apr 13, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, May 11, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, June 8, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, July 13, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Aug 10, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Sept 14, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Oct 12, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Nov 9, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Dec 14, 2022 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Jan 11, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Feb 8, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Mar 8, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Apr 12, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, May 10, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Jun 14, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, July 12, 2023 due to the VGIN Advisory Board MeetingWednesday, Aug 9, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Sep 13, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, Oct 11, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Nov 8, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Dec 13, 2023 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Jan 10, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Feb 14, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, Apr 10, 2024 due to the VGIN Advisory Board MeetingWednesday, May 8, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Jun 12, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, Jul 10, 2024 due to the VGIN Advisory Board MeetingWednesday, Aug 14, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Wednesday, Sep 11, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, Oct 9, 2024 due to the VGIN Advisory Board meetingWednesday, Nov 13, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)Canceled: Wednesday, Dec 11, 2024 2:00 pm | 1 hour | (UTC-04:00) Eastern Time (US & Canada)

Snapshot img

The GIS market share in EMEA is expected to increase to USD 2.01 billion from 2021 to 2026, and the market’s growth momentum will accelerate at a CAGR of 8.23%.

This EMEA GIS market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers GIS market in EMEA segmentation by:

Component - Software, data, and services
End-user - Government, utilities, military, telecommunication, and others

What will the GIS Market Size in EMEA be During the Forecast Period?

Download the Free Report Sample to Unlock the GIS Market Size in EMEA for the Forecast Period and Other Important Statistics

The EMEA GIS market report also offers information on several market vendors, including arxiT SA, Autodesk Inc., Bentley Systems Inc., Cimtex International, CNIM SA, Computer Aided Development Corp. Ltd., Environmental Systems Research Institute Inc., Fugro NV, General Electric Co., HERE Global BV, Hexagon AB, Hi-Target, Mapbox Inc., Maxar Technologies Inc., Pitney Bowes Inc., PSI Services LLC, Rolta India Ltd., SNC Lavalin Group Inc., SuperMap Software Co. Ltd., Takor Group Ltd., and Trimble Inc. among others.

GIS Market in EMEA: Key Drivers, Trends, and Challenges

The integration of BIM and GIS is notably driving the GIS market growth in EMEA, although factors such as data viability and risk of intrusion may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the GIS industry in EMEA. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

Key GIS Market Driver in EMEA

One of the key factors driving the geographic information system (GIS) market growth in EMEA is the integration of BIM and GIS. A GIS adds value to BIM by visualizing and analyzing the data with regard to the buildings and surrounding features, such as environmental and demographic information. BIM data and workflows include information regarding sensors and the placement of devices in IoT-connected networks. For instance, Dubai's Civil Defense Department has integrated GIS data with its automatic fire surveillance system. This information is provided in a matter of seconds on the building monitoring systems of the Civil Defense Department. Furthermore, location-based services offered by GIS providers help generate huge volumes of data from stationary and moving devices and enable users to perform real-time spatial analytics and derive useful geographic insights from it. Owing to the advantages associated with the integration of BIM with GIS solutions, the demand for GIS solutions is expected to increase during the forecast period.

Key GIS Market Challenge in EMEA

One of the key challenges to the is the GIS market growth in EMEA is the data viability and risk of intrusion. Hackers can hack into these systems with malicious intentions and manipulate the data, which could have destructive or negative repercussions. Such hacking of data could cause nationwide chaos. For instance, if a hacker manipulated the traffic management database, massive traffic jams and accidents could result. If a hacker obtained access to the database of a national disaster management organization and manipulated the data to create a false disaster situation, it could lead to a panic situation. Therefore, the security infrastructure accompanying the implementation of GIS software solutions must be robust. Such security threats may impede market growth in the coming years.

Key GIS Market Trend in EMEA

Integration of augmented reality (AR) and GIS is one of the key geographic information system market trends in EMEA that is expected to impact the industry positively in the forecast period. AR apps could provide GIS content to professional end-users and aid them in making decisions on-site, using advanced and reliable information available on their mobile devices and smartphones. For instance, when the user simply points the camera of the phone at the ground, the application will be able to show the user the location and orientation of water pipes and electric cables that are concealed underground. Organizations such as the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C) are seeking investments and are open to sponsors for an upcoming AR pilot project, which seeks to advance the standards of AR technology at both respective organizations. Such factors will further support the market growth in the coming years.

This GIS market in EMEA analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth st

This portfolio discusses how the National 4-H Geospatial Leadership Team (NGLT) is dedicated to empowering youth through GIS technology, research, and community-driven mapping initiatives. Their work spans health data analysis, historical mapping, and interactive StoryMaps, fostering innovation in geospatial education. By participating in national conferences, career mentorships, and technical development projects, NGLT strengthens youth leadership and expands the role of GIS in solving real-world challenges.

Crime data assembled by census block group for the MSA from the Applied Geographic Solutions' (AGS) 1999 and 2005 'CrimeRisk' databases distributed by the Tetrad Computer Applications Inc. CrimeRisk is the result of an extensive analysis of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, CrimeRisk provides an accurate view of the relative risk of specific crime types at the block group level. Data from 1990 - 1996,1999, and 2004-2005 were used to compute the attributes, please refer to the 'Supplemental Information' section of the metadata for more details. Attributes are available for two categories of crimes, personal crimes and property crimes, along with total and personal crime indices. Attributes for personal crimes include murder, rape, robbery, and assault. Attributes for property crimes include burglary, larceny, and mother vehicle theft. 12 block groups have no attribute information. CrimeRisk is a block group and higher level geographic database consisting of a series of standardized indexes for a range of serious crimes against both persons and property. It is derived from an extensive analysis of several years of crime reports from the vast majority of law enforcement jurisdictions nationwide. The crimes included in the database are the "Part I" crimes and include murder, rape, robbery, assault, burglary, theft, and motor vehicle theft. These categories are the primary reporting categories used by the FBI in its Uniform Crime Report (UCR), with the exception of Arson, for which data is very inconsistently reported at the jurisdictional level. Part II crimes are not reported in the detail databases and are generally available only for selected areas or at high levels of geography. In accordance with the reporting procedures using in the UCR reports, aggregate indexes have been prepared for personal and property crimes separately, as well as a total index. While this provides a useful measure of the relative "overall" crime rate in an area, it must be recognized that these are unweighted indexes, in that a murder is weighted no more heavily than a purse snatching in the computation. For this reason, caution is advised when using any of the aggregate index values. The block group boundaries used in the dataset come from TeleAtlas's (formerly GDT) Dynamap data, and are consistent with all other block group boundaries in the BES geodatabase.

   This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.


   The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.


   The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.


   Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.


   This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.


   The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.


   The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.


   Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

The Green Infrastructure Focus Map is a new tool and evidence base to help London’s decision-makers identify where green infrastructure improvements and investments might be best targeted, and what kind of interventions might be most useful for the needs of a specific area. The Green Infrastructure Focus Map can help: identify where there is more need or less need for green infrastructure interventions describe which specific environmental or social issues have the greatest need for intervention in a particular location highlight other issues that green infrastructure can’t necessarily help with, but that are useful context for decision making (e.g. income deprivation) Please contact environment@london.gov.uk with any queries or feedback. Data and analysis from GLA GIS Team form a basis for the policy and investment decisions facing the Mayor of London and the GLA group. GLA Intelligence uses a wide range of information and data sourced from third party suppliers within its analysis and reports. GLA Intelligence cannot be held responsible for the accuracy or timeliness of this information and data. The GLA will not be liable for any losses suffered or liabilities incurred by a party as a result of that party relying in any way on the information contained in this report.

Internal view of the parcel layer. This view contains all the attributes that can be seen by County employees.There are approximately 51,300 real property parcels in Napa County. Parcels delineate the approximate boundaries of property ownership as described in Napa County deeds, filed maps, and other source documents. GIS parcel boundaries are maintained by the Information Technology Services GIS team. Assessor Parcel Maps are created and maintained by the Assessor Division Mapping Section. Each parcel has an Assessor Parcel Number (APN) that is its unique identifier. The APN is the link to various Napa County databases containing information such as owner name, situs address, property value, land use, zoning, flood data, and other related information. Data for this map service is sourced from the Napa County Parcels dataset which is updated nightly with any recent changes made by the mapping team. There may at times be a delay between when a document is recorded and when the new parcel boundary configuration and corresponding information is available in the online GIS parcel viewer.From 1850 to early 1900s assessor staff wrote the name of the property owner and the property value on map pages. They began using larger maps, called “tank maps” because of the large steel cabinet they were kept in, organized by school district (before unification) on which names and values were written. In the 1920s, the assessor kept large books of maps by road district on which names were written. In the 1950s, most county assessors contracted with the State Board of Equalization for board staff to draw standardized 11x17 inch maps following the provisions of Assessor Handbook 215. Maps were originally drawn on linen. By the 1980’s Assessor maps were being drawn on mylar rather than linen. In the early 1990s Napa County transitioned from drawing on mylar to creating maps in AutoCAD. When GIS arrived in Napa County in the mid-1990s, the AutoCAD images were copied over into the GIS parcel layer. Sidwell, an independent consultant, was then contracted by the Assessor’s Office to convert these APN files into the current seamless ArcGIS parcel fabric for the entire County. Beginning with the 2024-2025 assessment roll, the maps are being drawn directly in the parcel fabric layer.Parcels in the GIS parcel fabric are drawn according to the legal description using coordinate geometry (COGO) drawing tools and various reference data such as Public Lands Survey section boundaries and road centerlines. The legal descriptions are not defined by the GIS parcel fabric. Any changes made in the GIS parcel fabric via official records, filed maps, and other source documents are uploaded overnight. There is always at least a 6-month delay between when a document is recorded and when the new parcel configuration and corresponding information is available in the online parcel viewer for search or download.Parcel boundary accuracy can vary significantly, with errors ranging from a few feet to several hundred feet. These distortions are caused by several factors such as: the map projection - the error derived when a spherical coordinate system model is projected into a planar coordinate system using the local projected coordinate system; and the ground to grid conversion - the distortion between ground survey measurements and the virtual grid measurements. The aim of the parcel fabric is to construct a visual interpretation that is adequate for basic geographic understanding. This digital data is intended for illustration and demonstration purposes only and is not considered a legal resource, nor legally authoritative.SFAP & CFAP DISCLAIMER: Per the California Code, RTC 606. some legal parcels may have been combined for assessment purposes (CFAP) or separated for assessment purposes (SFAP) into multiple parcels for a variety of tax assessment reasons. SFAP and CFAP parcels are assigned their own APN number and primarily result from a parcel being split by a tax rate area boundary, due to a recorded land use lease, or by request of the property owner. Assessor parcel (APN) maps reflect when parcels have been separated or combined for assessment purposes, and are one legal entity. The goal of the GIS parcel fabric data is to distinguish the SFAP and CFAP parcel configurations from the legal configurations, to convey the legal parcel configurations. This workflow is in progress. Please be advised that while we endeavor to restore SFAP and CFAP parcels back to their legal configurations in the primary parcel fabric layer, SFAP and CFAP parcels may be distributed throughout the dataset. Parcels that have been restored to their legal configurations, do not reflect the SFAP or CFAP parcel configurations that correspond to the current property tax delineations. We intend for parcel reports and parcel data to capture when a parcel has been separated or combined for assessment purposes, however in some cases, information may not be available in GIS for the SFAP/CFAP status of a parcel configuration shown. For help or questions regarding a parcel’s SFAP/CFAP status, or property survey data, please visit Napa County’s Surveying Services or Property Mapping Information. For more information you can visit our website: When a Parcel is Not a Parcel | Napa County, CA

The GLA have produced a dataset that provides a more accurate estimate of the extent of the London’s green infrastructure - the city’s parks, gardens, trees, green spaces, rivers and wetlands, and features such as green roofs. The green cover layer was created by combining classified near-infrared aerial imagery (NDVI) with land use datasets and resulted in a green cover estimate for London of between 48-51 percent. The baseline is presented as a range to account for variations in the analysis of aerial imagery. The methodology is set out in the report below and a web map created to visualise the data. The final green cover layer is available to download in a geospatial format (shape files). Contains OS data © Crown copyright and database rights 2019. Contains Verisk Analytics GeoInformation Group UKMap data. NOTE: The data is based on Ordnance Survey mapping and the data is published under Ordnance Survey's 'presumption to publish'.

VDOT's mission is to plan, deliver, operate and maintain a transportation system that is safe, enables easy movement of people and goods, enhances the economy and improves our quality of life.VDOT ArcGIS Online is an interactive portal through which VDOT staff, business partners, and the public can access web mapping applications, map publications, and geospatial data pertaining to transportation in Virginia. Users can learn about, browse, search, and/or download data from this site.The products on this site are for informational purposes and may not have been prepared for legal, engineering or surveying purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information.Questions? Contact the Spatial Intelligence Group.

The HUD GIS Boundary Files are intended to supplement boundary files available from the U.S. Census Bureau. The files are for community planners interested in working with census tract and block group data that splits by jurisdiction boundaries (summary levels 080, 090, and 091). The GIS shape files are most helpful when linked with census tract and block group data downloaded from the census standard tabulation data, CDBG low/mod area data (summary level 090), or the CHAS 2000 data (summary levels 080 and 091).

This dataset contains point features of the location of all public libraries in the City of Norfolk.

Data maintained by the City of Norfolk Department of Information Technology GIS Team.

Any and all data sets are for graphical representations only and should not be used for legal purposes. Any determination of topography or contours, or any depiction of physical improvements, property lines or boundaries is for general information only and shall not be used for the design, modification, or construction of improvement to real property or for flood plain determination.

The data release for geologic maps of Ravalli Group and other Mesoproterozoic Belt Supergroup strata in northern Idaho and northwestern Montana is a digital, Geologic Map Schema (GeMS)-compliant version of maps published in U.S. Geological Survey (USGS) Open-File Report 2001-438 (Boleneus and others, 2001). The new digital data include attribute tables and geospatial features (points, lines, and polygons) in the format that meets GeMS requirements. This data release presents the geologic maps as shown on the plates and captured in geospatial data for the published maps. The database represents the geology for the 2.7 million acre, geologically complex study area in eleven plates at a publication scale of 1:48,000, and two plates at a publication scale of 1:12,000. The maps cover primarily Sanders, Shoshone, Kootenai, and Lincoln Counties, but also include minor parts of Benewah and Bonner Counties. Geologic mapping was undertaken between 1979 and 1984 by ASARCO Inc. as part of their program to explore for sediment-hosted stratiform copper deposits in northern Idaho and western Montana. Geologic mapping was primarily focused on formations of the Ravalli Group, which resulted in large unmapped areas within the map boundary. In 2001 maps were scanned, georeferenced, and published by USGS (Boleneus and others, 2001). Boleneus, D.E., Applegate, L.M., Joseph, N.L., and Brandt, T.R., 2001, Raster Images of Geologic Maps of Middle Proterozoic Belt strata in parts of Benewah, Bonner, Kootenai and Shoshone Counties, Idaho and Lincoln, Mineral and Sanders Counties, Montana: U.S. Geological Survey Open-File Report OF-2001-438, scales 1:48,000 and 1:12,000, https://doi.org/10.3133/ofr2001438.